# SoftPlus¶

Versioned name: SoftPlus-4

Category: Activation

Short description: SoftPlus takes one input tensor and produces output tensor where the SoftPlus function is applied to the tensor elementwise.

Detailed description: For each element from the input tensor calculates corresponding element in the output tensor with the following formula:

$SoftPlus(x) = 1/beta*ln(e^{beta*x} + 1.0)$

Attributes:

• beta

• Description: beta is value for the Softplus formulation.

• Range of values: positive integers

• Type: int

• Default value: 1

• Required: no

Inputs:

• 1: Multidimensional input tensor of type T. Required.

Outputs

• 1: The resulting tensor of the same shape and type as input tensor. Required.

Types

• T: arbitrary supported floating point type. Required.